How do I find my API Token?

Log in to your Expansify AI account and navigate to **Settings** > **API Keys** to generate and copy your unique access token.

Can the agent generate different types of content?

Yes! Use the `generate_ai_content` tool and specify the `type` parameter (e.g., blog_post, tweet, ad) along with your topic prompt.

How do I check the performance of an SEO keyword?

Use the `analyze_keyword_seo` tool to trigger a technical analysis of any specific keyword to understand its difficulty and ranking potential.

INSTANT PLUG AND PLAY

Expansify AI MCP Server for CrewAIGive CrewAI instant access to 6 tools to Analyze Keyword Seo, Create Campaign, Generate Ai Content, and more

Name: Expansify AI
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR 6 Tools Framework

Connect your CrewAI agents to Expansify AI through Vinkius, pass the Edge URL in the `mcps` parameter and every Expansify AI tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Use with Your AI Agent

Ask AI about this App Connector for CrewAI

Open in ChatGPT Open in Claude Open in Perplexity

The Expansify AI app connector for CrewAI is a standout in the Marketing Automation category — giving your AI agent 6 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Expansify AI Specialist",
    goal="Help users interact with Expansify AI effectively",
    backstory=(
        "You are an expert at leveraging Expansify AI tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Expansify AI "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 6 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Expansify AI MCP Server

Connect your Expansify AI account to any AI agent and take full control of your content marketing and SEO workflows through natural conversation.

When paired with CrewAI, Expansify AI becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Expansify AI tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

What you can do

Campaign Orchestration — List and manage all AI content campaigns and retrieve detailed metadata about strategy and performance programmatically
Automated Content Generation — Programmatically generate blog posts, social media updates, and ad copy by providing prompts and content types directly through your agent
SEO Intelligence — List and monitor tracked SEO keywords to maintain a high-fidelity oversight of your search engine visibility
Keyword Analysis — Trigger deep SEO analysis for specific keywords to optimize your content strategy and identify ranking opportunities
Content Library Navigation — Access the complete history of generated AI content to reuse or refine previous marketing materials

The Expansify AI MCP Server exposes 6 tools through the Vinkius. Connect it to CrewAI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 6 Expansify AI tools available for CrewAI

When CrewAI connects to Expansify AI through Vinkius, your AI agent gets direct access to every tool listed below — spanning content-generation, campaign-management, seo-tracking, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

analyze_keyword_seo

Analyze a keyword for SEO

create_campaign

Create a new content campaign

generate_ai_content

). Generate new AI content

list_campaigns

List all AI content campaigns

list_generated_content

List generated AI content

list_tracked_keywords

List tracked SEO keywords

Connect Expansify AI to CrewAI via MCP

Follow these steps to wire Expansify AI into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 6 tools from Expansify AI

Why Use CrewAI with the Expansify AI MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Expansify AI through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Expansify AI + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Expansify AI MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Expansify AI for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Expansify AI, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Expansify AI tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Expansify AI against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for Expansify AI in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Expansify AI immediately.

"Generate a blog post about 'The future of RAG in 2026' using Expansify AI."

"List all my active content campaigns."

"Analyze the SEO difficulty for the keyword 'mcp server implementation'."

Troubleshooting Expansify AI MCP Server with CrewAI

Common issues when connecting Expansify AI to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Expansify AI + CrewAI FAQ

Common questions about integrating Expansify AI MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.